Agents, automations, and AI systems built to run in production
The full range of AI capability from one senior team: custom development, autonomous agents, generative AI, and n8n automations, plus the consulting to decide what is worth building in the first place. We take a scoped problem to a working system and hand it back so your team runs it.
01 / The problem
Point tools and weekend pilots do not add up to a system
Most teams end up with a drawer of half-finished AI experiments: a prototype on the Claude or OpenAI API that demoed well and then broke under real traffic, a couple of automations nobody trusts, a generative feature that drifts off-brand. The model was never the hard part. The hard part is the layer around it, and the judgment about what to build at all: which workflow is worth automating, where an agent belongs versus a plain script, and what should stay human. Point tools bought one at a time do not compose into something your business can actually run on.
02 / The approach
One team across the whole build
We start with what is worth building. That means a short discovery on where AI genuinely fits your business and where it does not, before anyone writes code. Then we build across whatever the problem needs: custom AI development wired into your product or stack, autonomous and multi-step agents with structured outputs, retries, evals, and human escalation, generative AI pipelines grounded in your data and brand, and workflow automation on n8n that connects the tools you already run. Everything ships with the reliability layer that keeps it running (typed outputs, fallback chains, evals against a fixed test set, and logging so you can trace any run) and a handoff so your team can change it without us.
03 / What you get
What we build
- AI Development: custom AI systems and AI-native features built into your product or stack, from first prototype to production.
- AI Agents: autonomous and multi-step agents with structured outputs, retries, evals, and human escalation on the cases that matter.
- Generative AI: text, image, and content generation pipelines grounded in your data and brand, with a human review step before anything ships.
- AI Consulting: an honest read on what to build and what to skip, the architecture, and the sequence, so you invest in systems that hold up.
- Automations & n8n: workflow automation built on n8n that connects the tools you already run and takes repetitive work off your team.
Common questions
Our process is too custom for an off-the-shelf agent. Does this still work?+
That is exactly why we build instead of resell a template. We model your specific workflow, your data, and your rules for what counts as correct. Custom is the point. Generic agent frameworks fail on custom processes because they have no opinion about your edge cases, so we encode yours directly.
What happens when the agent gets something wrong?+
We assume it will, and we design for it. Every agent has a confidence threshold: below it, the case routes to a human instead of going out wrong. In the medical triage build, high-risk cases always escalate to in-person care. We would rather the agent hand off the hard cases than guess, and you get logs to trace exactly why any run went the way it did.
We've had software projects that never shipped. Why is this different?+
We scope to one workflow and get it to staging in weeks, not a year-long platform build. You get something running that you can break and test before it touches real users. If the evals do not clear the bar you set, we do not ship it. Small, measurable, in production, then expand.
How do you start, and how long does it take?+
We start with the one workflow where the volume and the pain are highest. First we define what correct means and build an eval set, then we build the agent against it. Most first agents reach a working staged version in a few weeks, depending on how many systems it has to touch and how clean your data is.
Will this replace my team?+
No, and we are honest that it should not. These agents take repetitive judgment work off people so they can focus on the cases that need a human. The triage system was built to support clinicians, not stand in for them. The agent handles the routine volume and escalates the rest, and someone on your side still owns the exceptions.
Do you actually run agents yourselves, or just build them?+
We run them internally for our own sales, ops, and support before we recommend anything. We build on tools we use daily: Claude for reasoning, n8n for orchestration, Apollo and Attio for go-to-market data, PolyAI for voice, and RAG for grounding. You are not a test case for a pattern we have never run ourselves.
More services
All servicesHave a workflow worth automating?
Tell us the process. We will tell you what we would build.